ISEA: iterative seed-extension algorithm for de novo assembly using paired-end information and insert size distribution
Min Li, Zhongxiang Liao, Yiming He, Jianxin Wang*,Junwei Luo, and Yi Pan
School of Information Science and Engineering, Central South University,
China
ISEA is an de novo assembly tool based using paired-end information and insert size distribution.
Software
download: ISEA
DataSet
The Staphylococcus aureus dataset used in ISEA's manuscript can be downloaded from Staphylococcus aureus.
Collaboration
If you want to modify the source code and would like the
modification to be included in a subsequent release, we would love to hear from
you. Please send me an e-mail (limin@mail.csu.edu.cn).
If you have
questions about ISEA software, please send me an e-mail.
ISEA
Publication
Please see the following paper for more information
about the algorithm:
Min Li, Zhongxiang Liao, Yiming He, Jianxin Wang*,Junwei Luo, and Yi Pan.
ISEA: iterative seed-extension algorithm for de novo assembly using paired-end information and insert size distribution.
xxx 2016, x:xx
doi:xxx.xxx/xxx-xxx-x-xx.